Keyword search

Description: As we begin to use these new versions of AI, our jobs are destined to change. So, what will an average day of work look like a decade from now? Which jobs will AI impact the most? And is AI coming to replace our jobs all together? In this episode, we sat down with AI expert Tahsin Mehdi, an economist in the social analysis and modeling division of Statistics Canada, to answer our questions about how AI will transform our work lives in Canada.

Description:

This interactive data visualization dashboard provides a comprehensive picture of research and development (R&D) activities in Canadian industry. Users will find extensive coverage of characteristics on R&D activities in Canadian industry. The dashboard features information on in-house as well as outsourced R&D expenditures, statistics on energy-related R&D expenditures by area of technology and details on intellectual property product commerce.

Description:

This table contains 140 series, with data for years 2014 - 2015 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada) Intellectual property and other technology related services (10 items: Total intellectual property and other technology related services; Patents; Copyrights; Trademarks; ...) Payments made and received for intellectual property and other technology related services (14 items: Payments made; Payments to parent, affiliated or subsidiary companies; Payments to parent, affiliated or subsidiary companies made within Canada; Payments to parent, affiliated or subsidiary companies made outside Canada; ...).

Description:

This table contains 1500 series, with data for years 2014 - 2015 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada) North American Industry Classification System (NAICS) (75 items: Total all industries; Agriculture, forestry, fishing and hunting; Agriculture (except aquaculture) and support activities for crop production and animal production; Forestry, logging and support activities for forestry; ...) Intellectual property and other technology related services (10 items: Total intellectual property and other technology related services; Patents; Copyrights; Trademarks; ...) Payments made and received for intellectual property and other technology related services (2 items: Payments made; Payments received).

Description: Annual estimates of capital expenditures on environmental protection and resource management activities by North American Industry Classification System (NAICS) and geography. The unit of measure is dollars (x1,000,000).

Description: Annual estimates of the percentage of enterprises that reported drivers and obstacles to the purchase of technologies, systems or equipment related to environmental protection by North American Industry Classification System (NAICS). The unit of measure is percent.

Description: This dashboard shows traffic count data that is obtained from traffic camera imagery using a computer vision-based system developed at the Data Exploration and Integration Lab (DEIL) at Statistics Canada. The system periodically pulls traffic imagery from the Application Programmable Interfaces (APIs) of municipal and provincial traffic camera programs. Vehicle detection was implemented using the open source You Only Look Once version 3 (YOLOv3) object detection model that was trained on the Common Objects in Context (COCO) dataset. The output of the model is used to generates real-time counts of the detected vehicles (cars, trucks, buses, motorcycles).

Description:

Product innovators' average percentage of sales that came from products that were new to one of the business's markets, new only to the business, and unchanged or marginally modified in three years, by North American Industry Classification System (NAICS) code and enterprise size, based on a one-year observation period. Estimates refer to fiscal year 2017 (end date falling after January 1, 2017 and on or before December 31, 2017).

Description:

Average expenditures (x 1,000) on specific innovation activities, by North American Industry Classification System (NAICS) code and enterprise size, based on a one-year observation period. Innovation activities include research and experimental development; acquisition or development of advanced technology; design activities related to other organizations; employee training specifically for innovation projects; consultation activities with external experts or internal workgroups; activities related to the development and implementation of new marketing methods; market preparation activities directly linked to the introduction of new goods or services; and other innovation activities. Estimates refer to fiscal year 2017 (end date falling after January 1, 2017 and on or before December 31, 2017).

Description:

The number of full-time equivalent (FTE) personnel employed outside Canada by businesses that are not an affiliate of a foreign parent (in the United States of America, Mexico, other Latin American and Caribbean countries, Europe, China, other Asian countries or all other countries), by North American Industry Classification System (NAICS) code and enterprise size, based on a one-year observation period. Estimates refer to fiscal year 2017 (end date falling after January 1, 2017 and on or before December 31, 2017).

Description:

This interactive data visualization dashboard provides a comprehensive picture of research and development (R&D) activities in Canadian industry. Users will find extensive coverage of characteristics on R&D activities in Canadian industry. The dashboard features information on in-house as well as outsourced R&D expenditures, statistics on energy-related R&D expenditures by area of technology and details on intellectual property product commerce.

Description:

This table contains 140 series, with data for years 2014 - 2015 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada) Intellectual property and other technology related services (10 items: Total intellectual property and other technology related services; Patents; Copyrights; Trademarks; ...) Payments made and received for intellectual property and other technology related services (14 items: Payments made; Payments to parent, affiliated or subsidiary companies; Payments to parent, affiliated or subsidiary companies made within Canada; Payments to parent, affiliated or subsidiary companies made outside Canada; ...).

Description:

This table contains 1500 series, with data for years 2014 - 2015 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada) North American Industry Classification System (NAICS) (75 items: Total all industries; Agriculture, forestry, fishing and hunting; Agriculture (except aquaculture) and support activities for crop production and animal production; Forestry, logging and support activities for forestry; ...) Intellectual property and other technology related services (10 items: Total intellectual property and other technology related services; Patents; Copyrights; Trademarks; ...) Payments made and received for intellectual property and other technology related services (2 items: Payments made; Payments received).

Description: Annual estimates of capital expenditures on environmental protection and resource management activities by North American Industry Classification System (NAICS) and geography. The unit of measure is dollars (x1,000,000).

Description: Annual estimates of the percentage of enterprises that reported drivers and obstacles to the purchase of technologies, systems or equipment related to environmental protection by North American Industry Classification System (NAICS). The unit of measure is percent.

Description: This dashboard shows traffic count data that is obtained from traffic camera imagery using a computer vision-based system developed at the Data Exploration and Integration Lab (DEIL) at Statistics Canada. The system periodically pulls traffic imagery from the Application Programmable Interfaces (APIs) of municipal and provincial traffic camera programs. Vehicle detection was implemented using the open source You Only Look Once version 3 (YOLOv3) object detection model that was trained on the Common Objects in Context (COCO) dataset. The output of the model is used to generates real-time counts of the detected vehicles (cars, trucks, buses, motorcycles).

Description:

Product innovators' average percentage of sales that came from products that were new to one of the business's markets, new only to the business, and unchanged or marginally modified in three years, by North American Industry Classification System (NAICS) code and enterprise size, based on a one-year observation period. Estimates refer to fiscal year 2017 (end date falling after January 1, 2017 and on or before December 31, 2017).

Description:

Average expenditures (x 1,000) on specific innovation activities, by North American Industry Classification System (NAICS) code and enterprise size, based on a one-year observation period. Innovation activities include research and experimental development; acquisition or development of advanced technology; design activities related to other organizations; employee training specifically for innovation projects; consultation activities with external experts or internal workgroups; activities related to the development and implementation of new marketing methods; market preparation activities directly linked to the introduction of new goods or services; and other innovation activities. Estimates refer to fiscal year 2017 (end date falling after January 1, 2017 and on or before December 31, 2017).

Description:

The number of full-time equivalent (FTE) personnel employed outside Canada by businesses that are not an affiliate of a foreign parent (in the United States of America, Mexico, other Latin American and Caribbean countries, Europe, China, other Asian countries or all other countries), by North American Industry Classification System (NAICS) code and enterprise size, based on a one-year observation period. Estimates refer to fiscal year 2017 (end date falling after January 1, 2017 and on or before December 31, 2017).

Description:

The number of full-time equivalent (FTE) personnel employed inside Canada by business activity, North American Industry Classification System (NAICS) code and enterprise size, based on a one-year observation period. Business activities include production of goods, distribution and logistics, call and help centre, marketing and sales services, information and communication technology (ICT) services, professional services, engineering and research and development (R&D) services, general management, and all other business activities. Estimates refer to fiscal year 2017 (end date falling after January 1, 2017 and on or before December 31, 2017).

Description:

Recent advances in artificial intelligence and machine-learning technologies have fuelled fears of potential job losses among some workers. While the net impact of new technology on total jobs can be negative, positive or neutral, some workers may be more affected than others depending on how easily robots and algorithms can replace them, or how easily their skills complement the new technology. In the case of women and men, it is not clear who is likely to be most affected. This study estimates the risk of job transformation as a result of automation technology faced by women and men.

Description:

Over the past few decades, computer technology has gradually changed workplaces, leading to a reduction of routine and manual job tasks, and an increase in non-routine, cognitive tasks. More recent developments in artificial intelligence and machine learning could be even more far-reaching, as they are designed to execute tasks that were traditionally considered non-automatable.

Description: Release published in The Daily – Statistics Canada’s official release bulletin

Description:

The recent development of several artificial intelligence applications—such as driverless vehicles, robo-writers and computer-aided medical diagnostics—has led to concerns about the role of human workers in the future workforce. The COVID-19 pandemic has added to these concerns, as businesses may turn to new artificial intelligence technologies to perform work activities not traditionally regarded as automatable, such as social tasks. While previous studies have estimated the share of Canadian workers at high risk of automation-related job transformation, this study is the first to examine in great detail the automation risks faced by different groups of workers.

Description: Release published in The Daily – Statistics Canada’s official release bulletin

Description:

The main objective of this paper is to determine whether the immigration status of the owner of a small or medium-sized enterprise (SME) affects the likelihood of a company implementing an innovation. This paper uses data from a survey of Canadian small and medium-sized enterprises (SMEs) in 2011, 2014 and 2017, and asks whether immigrant-owned SMEs were more likely to innovate during the three years prior to the survey than those owned by Canadian-born individuals.

Description: Release published in The Daily – Statistics Canada’s official release bulletin

Description:

Multinationals play an important role in the world economy because they are larger, innovate more, are more productive and pay higher wages compared with non-multinationals. Multinationals (i.e., firms that have established affiliates or subsidiaries in other countries) have played an increasingly important role in many economies. In Canada, multinationals accounted for only 0.8% of all enterprises in 2016, but they held 67% of all assets in the Canadian economy (Schaffter and Fortier-Labonté 2019). Given the importance of multinationals to the Canadian economy, it is essential for policy makers to understand the economic performance and productivity advantage of multinationals operating in Canada.

To address policy-relevant research questions, a rich micro dataset covering all industries from 2000 to 2014 has been constructed for this study, using several administrative microdata files at Statistics Canada. This dataset is used to delve deeper into and estimate the productivity advantage of multinationals, including the selection and learning effects associated with multinationality. In addition, this study investigates whether and how research and development (R&D) investment contributes to the superior productivity performance of multinationals.

Description: Release published in The Daily – Statistics Canada’s official release bulletin

Description:

Labour productivity growth in the business sector in Canada started to decline in 2000, from 2.3% per year in the period from 1991 to 2000 to 1.0% per year in the period from 2000 to 2015. This paper examines how innovation, innovation diffusion across firms, and business dynamism affected the productivity slowdown.

Description: This classification system was developed conjointly by the Social Sciences and Humanities Research Council of Canada (SSHRC), the Natural Sciences and Engineering Research Council of Canada (NSERC), the Canada Foundation for Innovation (CFI), the Canadian Institutes of Health Research (CIHR), and Statistics Canada which is the custodian. This shared standard classification, inspired by the Frascati Model 2015 of the Organisation for Economic Co-operation and Development (OECD), will be used by the federal granting agencies and Statistics Canada to collect, and disseminate data related to research and development in Canada. The Canadian Research and Development Classification (CRDC) first official version was the 2020 Version 1.0, now being replaced by CRDC Version 2.0. The CRDC is revised within 2 years for minor changes, and every five years for major revisions. CRDC 2020 Version 2.0 is composed of 3 main pieces: the type of activity or TOA (with 3 categories), the field of research or FOR (with 1,671 fields at the lowest level) and socioeconomic objective or SEO (with 85 main groups at the lowest level).

Description:

The concordance table provides a link between data tables and the survey questions from the Survey of Innovation and Business Strategy (SIBS).

Description:

Summary of the technical workshop on Estimates of Research and Development in the Higher Education Sector (HERD), held in Ottawa on October 16, 2009. Data users and experts from universities and colleges, granting councils and provincial and federal government departments proposed general and detailed recommendations for the methodology applied in estimating the HERD.

Description:

The issue of biotechnology in agriculture has generated much debate. This activity is designed to help students better understand biological systems for producing materials and their advantages over synthetic systems.

Description:

This activity looks at the different ways in which technology is used on the farm.

Description:

This report focusses on new studies that analyse information and communications technology industries, science-based industries, high-technology industries and firms, the knowledge-based economy, and knowledge workers.

Description:

Statistics Canada's annual Economic Conference provides a forum for the exchange of empirical research among business, government, research and labour communities. The conference is also a means to promote economic and socio-economic analyses while subjecting existing data to critical assessment as part of an ongoing process of statistical development and review. This year's theme was Innovation in an Evolving Economy. At the May 6-7, 2002 conference there were 12 presentations, based directly on the analysis of Science, Innovation and Electronic Information Division (SIEID) data. These presentations were given by SIEID analysts, by Statistics Canada analysts in other groups, by facilitated access researchers and by analysts using published or commissioned estimates.

Description:

The Quebec Institute of Statistics hosted a forum for Statistics Canada and provincial government experts dealing with the subject of science and technology statistics.

Description:

This paper describes the experiences, the issues and the expectations of the many different players involved in the implementation of document imaging for the Canadian Census of Agriculture.

Description:

Statistics Canada is engaged in a project "Information System for Science and Technology" which purpose is to develop useful indicators of activity and a framework to tie them together into a coherent picture of science and technology (S&T) in Canada. The Working papers series is used to publish results of the different initiatives conducted within this project. The produced data are related to the activities, linkages and outcomes of S&T. Several key areas are covered such as: innovation, technology diffusion, human resources in S&T and interrelations between different actors involved in S&T. This series also presents important data tabulations taken from regular surveys on R&D and S&T and made possible because of the existing Project.